class_docstr: Tests the correctness of the Y = g(X) = Log[1 + exp(X)] transformation.
docstr: Inverse log det jacobian, before being reduced.
docstr_tok: ["Inverse","log","det","jacobian",",","before","being","reduced","."]
code: def _softplus_ildj_before_reduction(self, y):
      """Inverse log det jacobian, before being reduced."""
      return -np.log(1 - np.exp(-y))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 3 for calling the SoftplusBijectorTest obj's underlying member method code with example usage: obj._softplus_ildj_before_reduction(y) and returns: unknown